This post originally appeared on the Software Carpentry website.
Today we wrapped up our 2-day bootcamp at Johns Hopkins University in Baltimore. We had a pretty small group of about 12 each day (out of 20 signed up). In a really pleasant surprise we had students come from Brooklyn, NY and Virginia, plus two students who commuted up from Sigma Space in Lanham, MD. Overall feedback seemed quite positive:
| Good |
Bad |
- advanced bash (find, pipes)
- git and GitHub are cool
- all the bootcamp material is online (at GitHub)
- intro to Python
- free
- intro to shell
- saw some advanced Python
- testing/debugging
- branching in git
- bootcamp was local
- examples relevant to scientists
- watching how someone else works
- we covered everything we planned (from Matt)
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- show/use more IPython features (from someone who already uses it)
- shell went too slow, Python went too fast
- projector small/dim (+fonts small)
- had to take time off work (about half said they would have come on the weekend.)
- would like domain specific Python examples
- would like a third day (majority would have come for another day)
- hard if you miss the first day
- want more NumPy, SciPy, etc.
- get left behind if you make a mistake
- don't see complexity when writing examples from scratch, could provide some pre-written code
- more step-by-step instructions online
- wanted to see professional workflow with IPython notebook (from Josh)
- could use pre-class surveys to tailor lessons
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Big thanks to the other instructors Joshua, Sasha, and Mike!
